Data Science and Intelligent Systems

Concepts and techniques from data science and intelligent computing  are being rapidly integrated into many areas of Electrical and Computer Engineering (ECE), in particular by exploiting new developments in machine learning. Areas such as computer and robot vision, computational imaging, and biometric recognition greatly benefit from recent advances in deep learning. Computational biology and computational neuroscience rely on advanced data science methods to process the vast amounts of information produced by novel sensing modalities, with the ultimate goal of delivering personalized medicine. Transportation and energy networks, as well as the emerging Internet of Things (IoT) infrastructure, heavily rely on intelligent, distributed computing to manage various forms of congestion and other anomalies. To support such intensive data processing, specialized hardware, software, and computer architecture are essential. Research activities in Data Science and Intelligent Systems span a wide range of topics, and also complement and enhance the ECE Department’s synergies with the Division of Systems Engineering, the Hariri Institute, and the Faculty of Computing and Data Sciences. A vibrant organizational unit in this research area is the Information and Data Sciences (IDS) group, which brings together faculty and students with interests in the sensing, communicating, and processing of various forms of information. We invite you to explore our research activities, meet our teams, and read about our success stories by visiting the faculty, lab and research center pages below.

Affiliated Faculty

John Baillieul, Kayhan Batmanghelich, Calin Belta, Margrit Betke, Christos Cassandras, David Castañón, Ashok Cutkosky, Emiliano Dall’Anese, Robert M. Gray, Prakash Ishwar, Ajay Joshi, W. Clem Karl, Janusz Konrad, Brian Kulis, Wenchao Li, Thomas Little, Hamid Nawab, Bobak Nazer, Eshed Ohn-Bar, Alex Olshevsky, Ioannis Paschalidis, Venkatesh Saligrama, Stan Sclaroff, Archana Venkataraman, Tianyu Wang

Affiliated Labs
Affiliated Research Centers
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